RL agents using laser-wall partitioning generate 4-to-9-room layouts that mostly match target areas, aspect ratios, and adjacencies.
GPLAN: Computer-Generated Dimensioned Floorplans for given Adjacencies
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abstract
In this paper, we present GPLAN, software aimed at constructing dimensioned floorplan layouts based on graph-theoretical and optimization techniques. GPLAN takes user requirements as input in the following two forms: i. Adjacency graph: It allows user to draw an adjacency graph on a GUI(graphical user interface) corresponding to which GPLAN produces a set of dimensioned floorplans with a rectangular boundary, where each floorplan is topologically distinct from others. ii. Dimensionless layout: Here, user can draw any layout with rectangular or non-rectangular boundary on a GUI and GPLAN transforms it into a dimensioned floorplan while preserving adjacencies, positions, shapes of the rooms. The above approaches represent different ways of inserting adjacencies and GPLAN generate dimensioned floorplans corresponding to the given adjacencies. The larger aim is to provide alternative platforms to user for producing dimensioned floorplans for all given (architectural) constraints, which can be further refined by architects.
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cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation
RL agents using laser-wall partitioning generate 4-to-9-room layouts that mostly match target areas, aspect ratios, and adjacencies.